An explainable machine learning-based prediction model for sarcopenia in elderly Chinese people with knee osteoarthritis.

ABSTRACT:

Background

Sarcopenia is an age-related progressive skeletal muscle disease that leads to loss of muscle mass and function, resulting in adverse health outcomes such as falls, functional decline, and death. Knee osteoarthritis (KOA) is a common chronic degenerative joint disease among elderly individuals who causes joint pain and functional impairment. These two conditions often coexist in elderly individuals and are closely related. Early identification of the risk of sarcopenia in KOA patients is crucial for developing intervention strategies and improving patient health.

Methods

This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), selecting symptomatic KOA patients aged 65 years and above and analyzing a total of 95 variables. Predict

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11889032 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature